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IRT与AHP在大规模教育模拟试卷评价中的应用——以2016年重庆市高考数学(理科)模拟试卷为例

The Application of Item Response Theory and Analytic Hierarchy Process in the Quality Evaluation of Large-scale Simulation Screening Test: Taking the College Entrance Simulation Examination of Mathematics( Science) in Chongqing of 2016 as an Example
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摘要 在大规模教育模拟考试命题中,模拟试卷对被试能力的有效测量以及对试题难度结构的预估和控制,是模拟试卷命题面临的最大难题。传统上,基于经典测量理论的评价模式内容单一,难以对试卷参数进行准确的测量和评价;而对试题难度结构的预估和控制也主要依靠命题者的经验和主观判别,其预测的精度难以得到保证。基于此,提出以项目反应理论与层次分析法相结合的模拟试卷评价模式,结合定量分析与定性分析的优势,实现对试卷难度系数、区分度系数、信息量、预测性能的综合评估,以期为学校及教师开辟一条兼具科学性、预测性与可操作性的大规模教育模拟试卷评价新路径提供参考。 The measurement and prediction of the item difficulty is a significant content and a difficult point in the large-scale simulation screening test. Traditionally,the content of evaluation model based on Classical Test Theory is sketchy,it is difficult to accurately measure and evaluate the parameters of the simulation screening test.The prediction and control of the item difficulty mainly is decided through qualitative analysis,depending on the experience of the item-developing expert,which is strongly subjective and free,the precision of prediction is difficult to guarantee. Based on this,using the methods of Item Response Theory and Analytic Hierarchy Process,it is proposed to accurately measure and evaluate the parameters of the simulation screening test,in order to open up a new path which is scientific and predictable.
作者 肖桐 易连云 Xiao Tong;Yi Lianyun(Northeast Normal Univerity,Changchun,Jilin,130024 2 Hainan Normal University,Haikou,Hainan,570100)
出处 《考试研究》 2018年第4期26-35,共10页 Examinations Research
基金 研究系教育部2017年度国家留学基金委及中俄政府奖学金资助的上海合作组织大学项目(项目编号留金亚[2017]9074)部分成果
关键词 教育模拟考试 项目反应理论 层次分析法 模糊评价 Simulation Screening Test Item Response Theory Analytic Hierarchy Process Fuzzy Evaluation
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